1. Ying Zhao,Yao Lu,etc. Region-based Mixture Models for Human Action Recognition in Low-resolution Videos, Neurocomputing(CCF C类期刊,IF=2.083)247,pp.1-15 2017.3
  2. Tianfei Zhou, Yao Lu, Huijun Di,Locality-Constrained Collaborative Model for
    Robust Visual Tracking, IEEE Transactions on Circuits and Systems for Video Technology(TCSVT,IF=2.615,CCF B类期刊).Vol.27,No.2,pp.313-325, 2017.2
  3. Qingxuan Shi, Huijun Di, Yao Lu, Feng Lv Video Pose Estimation with Global Motion Cues,Neurocomputing(CCF C类期刊,IF=2.083)219,pp.269-279,2017
  4. Jianqiang Xu,Yao Lu,Robust Visual Tracking based on Multi-channel Compressive Features, 2017 Multimedia Model(MMM2017),Jan.4-6, 2017,Iceland, 2017
  5. Ikram, Javaria, Yao Lu, Jianwu Li,Hui Nie, Bokhari, Hammad,"Face Hallucination in a high resolution feature space using an using an intermediate dictionary learning via reference patch embedding", IEEE/CAA Journal of Automatica Sinica, (Accepted), Jan. 2017.1
  6. Qirun Huo,Jianwu Li,Yao Lu,Removing Ring Artifacts in CBCT Images via L0 Smoothing,Imaging Systems and Technology(IJIST, SCI,IF=0.571), Vol.26, No.4,pp.284-294,Dec.2016
  7. Qirun Huo,Jianwu Li,Yao Lu,Removing ring artifacts in CT images via unidirectional relative variation model, IET Electronics Letters,Vol.52,No.22, 1838-1839,Sept.2016.
  8. Hui Nie, Yao Lu, Javaria Ikram, Face Halluciantion via Convolution Neural Network, ICTAI2016(CCF C类会议),Nov.6-8,2016,San Jose CA USA,2016.
  9. Haohao Jiang, Yao Lu, Jing Xue, Automatic Soccer Video Event Detection Based On A Deep Neural Network Combined CNN and RNN,ICTAI2016(CCF C类会议),Nov.6-8,2016,San Jose CA USA,2016.
  10. Ikram Javaria, Yao Lu, Face hallucination Using Correlative Residue Compensation in a Modified Feature Space, ICONIP2016(CCF C类会议),Oct.16-21,2016, Kyoto, Japan,,2016
  11. Qirun Huo, Jianwu Li, Yao Lu,Removing Ring Artifacts in CBCT Images Using Smoothing based on Relative Total Variation, ICONIP2016(CCF C类会议),Oct.16-21,2016, Kyoto, Japan,2016.
  12. Jing Xue,Yao Lu, Haohao Jiang,Abnormal Event Detection and Localization by Using Sparse Coding and Reconstruction,PCM2016(CCF C类会议), Sept.15-16, 2016,Xi'an, China.2016
  13. Jinwu Liu, Yao Lu, Tianfei Zhou, Instance Significance Guided Multiple Instance Boosting for Robust Visual Tracking, ICIP2016(CCF C类会议), 2016.9,Phoenix,USA,2016.
  14. Qingxuan Shi, Huijun Di, Yao Lu, Ming Qin, Video Pose Estimation via Medium Granularity Graphical Model with Spatial-Temporal Symmetric Constraint Part Model, ICIP2016(Oral,CCF C类会议), 2016.9,Phoenix,USA,2016.
  15. Ikram Javaria, Yao Lu, Jianwu Li, Face Hallucination Scheme Based on Singular Value Content Metric for K-NN Selection and Iterative Refining in a Modified Feature Space, ICIP2016(Oral, CCF C类 会议),2016.9, Phoenix,USA,2016.
  16. 秦明, 陆耀,邸慧军,吕峰, 基于误差补偿的复杂场景下背景建模方法,自动化学报,Vol42.No9.pp.1356-1366,2016年9月。
  17. 秦明,陆耀, 基于交叉协方差子空间估计的前景检测方法,北京理工大学学报(自然科学版)(录用),2016,3
  19. Tianfei Zhou,Yao Lu, Huijun Di, VIDEO OBJECT SEGMENTATION AGGREGATION, ICME2016(Oral,CCF B类会议),JULY 11-15,2016.Seattle, USA,2016.
  20. Ming Qin,Yao Lu,A Background Basis Selection based Foreground Detection Method,IEEE Transactions on Multimedia(TMM,IF=2.303,CCF B类期刊),Vol.18,No.7:1283-1296, 2016.
  21. 徐健强,陆耀,一种基于加权时空上下文的鲁棒视觉跟踪算法,自动化学报,Vol.41,No.11,pp.1901-1912, 2015年11月。
  22. Yanan Zhang,Yao Lu, Robust Object Tracking Enhanced by Correction Dictionary,2015 11th International Conference on Computational Intelligence and Security(CIS2015),Shenzhen, Guangzhou, China, 2015.11.
  23. Huijun Di, Yao Lu, Contour Flow: Middle-Level Motion Estimation by Combining Motion Segmentation and Contour Alignment,ICCV2015(CCF A类 国际顶级学术会议), 2015.12,Chili.
  24. Wei Zhao, Yao Lu, Haohao Jiang, and Wei Huang, Soccer Video Event Detection using Shot Focus Identification,ACPR2015,Nov.3-6,2015,Kuala Lumpur, Malaysia.
  25. Danfeng Wan, Yao Lu, Javaria Ikram, Jianwu Li, Position-patch Based Face Hallucination via Estimated High-resolution Reconstructed-weights Representation,PCM2015(CCF C类会议),Sept. 16 - 19, 2015 Gwangju, Korea.
  26. Ming Qin, Yao Lu, Huijun Di, and Tianfei Zhou, A Sparse Error Compensation based Incremental Principal Component Analysis Method for Foreground Detection,PCM2015(Oral,CCF C类会议),Sept. 16 - 19, 2015 Gwangju, Korea.
  29. Qingxuan Shi, Huijun Di, Yao Lu and Feng Lv,HUMAN POSE ESTIMATION WITH GLOBAL MOTION CUE,ICIP2015(CCF C类会议),Spet.27-30 2015, Quebec,Canada.
  30. Ikram Javaria, Lu Yao, Danfeng Wan, and Jianwu Li,LOCALITY CONSTRAINT NEIGHBOUR EMBEDDING VIA REFERENCE PATCH,ICME2015(CCF B类), June 29-July 3,2015.Turin, Italy.
  31. Ming Qin, Yao Lu, Huijun Di, Wei Huang, Background Basis Selection From Multiple Clustering on Local Neighbohood Structure, ICME2015(Oral,CCF B类)), June 29-July 3,2015.Turin, Italy.
  32. Ziye Yan,Jianwu Li, Yao Lu, Yanfeng Zhao,Super resolution in CT, International Journal of Imaging Systems and Technology(IJIST)(SCI),25(1),Mar.2015,pp.92-101.
  33. 吕峰,邸慧军,陆耀,徐光祐,基于分层弹性运动分析的非刚体跟踪,自动化学报,Vol.41 卷第 No.02 期pp: 295-303 ,2015年2月.
  34. Tianfei Zhou, Yao Lu, Feng Lv, Huijun Di, Qingjie Zhao, Jian Zhang,Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling,Neurocomputing(CCF C类期刊,IF=2.083) Vol.165,pp.350–360,2015.
  35. Jianqiang Xu, Yao Lu, Jinwu Liu,Robust Tracking via Weighted Spatial-Temporal Context Learning,ICIP2014(CCF C类会议), October 27-30,2014, Paris, France.
  36. Tianfei Zhou, Yao Lu,Huijun Di,Nearest Neighbor Field Driven Stochastic Sampling for Abrupt Motion Tracking, ICME2014(CCF B类会议), July 14-18, 2014, Chengdu, China.
  37. 侯鑫,陆耀,李建武,利用无参考图像内容量度优化非局部均值去噪方法参数,中国图象图形学报,2014,19(8):1142-1148,2014.
  38. Xin Hou, Jianwu Li, Yao Lu, Zhengchao Dong,Improving Nonlocal Means Method via a No-reference image Content Metric for MRI Denoising. Chinese Journal of Electronics,Vol.23, No.4.Oct.2014.pp.735-741.
  39. H.M.M.Naleer, Yao Lu, Feng Lv,Effective Two-step Method for Face Hallucination based on Sparse Compensation on over Complete Patches, IET image processing journal(CCF C类期刊,IF=0.753),Vol.7,No.6, June, 2013,pp. 624 - 632.
  40. Hong Zhao, Yao Lu, Face Hallucination Using Example-based Regularization, Springer, International Journal of Machine Learning and Cybernetics,2013(4),pp.693-701.
  41. Fan Lei, Yao Lu, Wei Huang, Lujun Yu and Lin jia, Fast Static Particle Swarm Optimization based Feature Selection For Face Detection, 2012 Eighth International Conference on Computational Intelligence and Security,CIS2012, pp.401-405, Nov.16-19, 2012.
  42. Dandan Song, Lijuan Jia, Linmi Tao, Yao Lu. Heart Sounds Monitor and Analysis in Noisy Environments. The 2012 International Conference on Systems and Informatics (ICSAI’12), Yantai, China, May 19-21,2012.
  43. H.M.M.Naleer, Yao Lu, A New Two-step Face Hallucination through Block of Coefficients, Proceedings of 2012 IEEE International Conference on Computer science and Automation Engineering, CSAE2012,pp.237-241, May 19-21, 2012.
  44. Xiuzhuang Zhou and Yao Lu. Abrupt motion tracking via intensively adaptive Markov chain Monte Carlo sampling. IEEE Transactions on Image Processing(CCF A类,国际顶级学术刊物,IF=3.625) Vol.21, No. 2, Feb.2012, pp.789-801.
  45. Ziye Yan, Yao Lu, Junhai Wen and Cuifen Li. Super Resolution SPECT Reconstruction with Non-uniform Attenuation. Computers in Biology and Medicine(IF=1.475), Vol 42, No 6, June 2012, pp. 651-656.
  46. 安耀祖,陆 耀,赵红,一种自适应正则化的图像超分辨率算法,自动化学报, 38 卷, 4期,2012年4月,601-608页。
  47. Ziye Yan, Yao Lu and Jianwu Li. Super resolution of text image by pruning outlier. 2011 International Conference on Neural Information Processing,ICONIP2011(CCF C类会议), pp.649-656。
  48. 颜子夜, 陆 耀, 李建武, 马跃. 一种基于核主成分分析的图像超分辨率算法. 山东大学学报(工学版).第41卷,第4期,2011年8月,101-105页。
  49. H.M.M Naleer, and Yao Lu, “Face Hallucination Framework based on Sparse Residual Compensation”, Proceedings of the IEEE International Conference on Industrial and Information System, 2011, ICIIS2011, pp. 249–254。
  50. H.M.M Naleer, Yao Lu and Yaozu an, “The Face Hallucinating Two-step Framework using Hallucinated High-resolution Residual”, Proceedings of the SPIE Third International Conference on Digital Image Processing, 2011, ICDIP 2011, v 8009。
  51. Xiuzhuang. Zhou, Yao Lu. Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling. IEEE Conference on Computer Vision and Pattern Recognition, 2010, CVPR '2010(CCF A类,国际顶级学术会议)pp.1847-1854。
  52. 翟振刚, 耀,赵红,利用块几何约束及视差概率分布的立体匹配算法,软件学报,21卷,11期,2010年11月, 2985-2998页。
  53. Yaozu An,Yao Lu, Ziye Yan. Spatial-Temporal Motion Compensation Based Video Super Resolution [C]. Asian Conference on Computer Vision,2010, ACCV2010(CCF C类会议), 2010, pp.282-292。
  54. Ziye Yan, Yao Lu, Hongxia Yan, ?Reducing the spiral ct slice thickness using super resolution, 17th IEEE International Conference on Image Processing , 2010, ICIP2010(CCF C类会议), pp.593– 596。
  55. Xiuzhuang Zhou, Yao Lu, Polygonal approximation of digital curves using adaptive MCMC sampling , 17th IEEE International Conference on Image Processing, 2010, ICIP 2010(CCF C类会议), pp.2753 – 2756。
  56. Xiuzhuang Zhou, Yao Lu, Efficient Polygonal Approximation of Digital Curves via Monte Carlo Optimization, 20th International Conference on Pattern Recognition , 2010, ICPR 2010(CCF C类会议), pp.3513 – 3516。
  57. H. M. M. Naleer, Yao Lu and Feroz Shah Syed, “Efficient Computational Approach for Coupled Problem Optimization and Post-processing”, International Journal of Science, Vol. 22, No. 2, 2010, pp. 099–105。
  58. Yaozu An, Yao Lu, Zhengang Zhai, Spatially Varying Regularization of Image Sequences Super-resolution, Asian Conference on Computer Vision,2009,ACCV2009, Part III, LNCS5996, pp475-484。
  59. Zhengang Zhai, Yao Lu, Hong Zhao.Stereo Matching with Adaptive Arbitrary Support-Pixel Set and Adaptive Support-Weight.In 2009 International Conference on Computational Intelligence and Security.CIS2009。
  60. Xiuzhuang Zhou and Yao Lu. Efficient mean shift particle filter for sperm cells tracking. International Conference on Computational Intelligence and Security (CIS), 2009, Beijing, pp.335-339。
  61. Yaozu An,Yao Lu, Hong Zhao. Neighborhood-based Weighted Regularization of Video Sequence Super Resolution, CIS2009, 2009, 1, pp.146-150。
  62. Ziye Yan and Yao Lu. Super Resolution of MRI Using Improved IBP. Computational Intelligence and Security, 2009. CIS '09. International Conference on, 11-14 Dec. 2009, vol.1 , pp.643-647。
  63. Hong Zhao, Yao Lu, ZhengangZhai,Gang Yang. Example-based regularization deployed to face hallucination.In 2009 International Conference on Computer Engineering and Technology, ICCET 2009, vol.1, pp. 485-489。
  64. Hong Zhao, Yao Lu, Zhengang Zhai. Example-based Facial Sketch Hallucination. In 2009 International Conference on Computational Intelligence and Security 。
  65. Zhengang Zhai, Yao Lu; Hong Zhao,Yaozu An . Stereo matching for slanted plane. In 2nd 2008 International Symposium on Intelligent Information Technology Application Workshop, 2008,pp.997-1000。
  66. Jianwu Li, Zhanyong Xiao, Yao Lu, Adapting Radial Basis Function Neural Networks for One-Class Classification, International Joint Conferences on Neural Networks, IJCNN2008(CCF C类会议), pp.3766–3770。
  67. Zhai Zhengang; Yao Lu; Zhao Hong.Stereo matching for larger disparity range using gradient information and adjacent segments cooperative optimization.In Proceedings of the 2008 International Conference on Computer and Electrical Engineering, ICCEE 2008, p 526-530。
  68. Bingbing Li, Yao Lu, Xiaoming Wang, Face Hallucination Based on Pyramid Regression Strategy, Proceeding of the 2007 ICWAPR, IEEE, 2007,pp. 135-140。
  69. 李建武, 陆耀. 一种快速多分类支持向量机实现策略. 模式识别与人工智能, 2007, 3: 301-307.
  70. Jianwu Li, Yao Lu, An Efficient Real-Coded Genetic Algorithm for Numerical Optimization Problems, the 3rd International Conference on Natural Computation, 2007: 760-764.
  71. Yao Lu, Minoru Inamura,Maria del Valdes, Super-resolution of? Undersampled and Subpixel Shifted Image Sequence by a Neural Network, International Journal of Imaging Systems and Technology; Vol.14, No.1,2004, pp.8-15(SCI)。
  72. Minoru Inamura. Maria Del Valdes. J. D. Valera. Yao Lu,Multidimensional filtering approaches for pre-processing thermal images. Multidimensional Systems and Signal Processing,Vol.17 No.4, pp. 299-325。2006(SCI)。
  73. Bo Ma, Hui-yang Qu, Hau-san Wong, Yao Lu, 3D head model classification using KCDA, LNCS(PCM 2006), 4261, 1008-1017, 2006(SCI)。
  74. Yao Lu and Minoru Inamura, Super–Resolution Image Pyramid, IEICE Transactions on Information and Systems Vol.E86–D, No.8. pp.1436–1446. 2003(SCI)。
  75. Yao Lu and Minoru Inamura, Super–Resolution of the Undersampled and Subpixel Shifted Image Sequence by Pyramid Iterative Back–Projection,IEICE Transactions on Information and Systems Vol.E85–D, No.12. pp.1929–1937, 2002(SCI)。
  76. Yao Lu and Minoru Inamura, Spatial resolution improvement of remote sensing image by fusion of subpixel shifted multi–observation images. International Journal of Remote Sensing. Vol. 24, No.23, pp. 4647-4660. 2002(SCI)。
  77. Yao Lu and Minoru Inamura, Pyramid-Based Super–Resolution of the Undersampled and Subpixel Shifted Image Sequence, International Journal of Imaging Systems and Technology,Vol. 12, No. 6., pp.254–263,2003(SCI)。
  78. Yao Lu and Minoru Inamura, Spatial Resolution Improvement of Spatial Shift Multi–Observation Images by Neural Network,Proceedings of 2002 IEEE International Geoscience and Remote Sensing Symposium(IGARSS02), Toronto, Canada, pp. 1487-1489.,2002(EI)。

北京理工大学  计算机学院  智能感知与计算技术研究团队